Method and device for estimating channel errors

Abstract

The present disclosure discloses a method for estimating a channel error, comprising the following steps: performing range Fast Fourier Transformation (FFT) on data of respective channels to determine a cross-correlation function and a range frequency of the transformed data of respective channels along azimuth; determining a phase of the cross-correlation function and performing differentiation on the range frequency; and determining a linear change rate of the phase of the cross-correlation function with respect to the range frequency according to the phase of the cross-correlation function and the differential result of the range frequency, and taking the linear change rate as a delay error between respective channels. Meanwhile, the present disclosure discloses an apparatus for estimating a channel error. By using the technical solution for estimating and compensating the channel error according to the present disclosure, the channel error can be estimated precisely and stably, so that the imaging quality in applications such as SAR multi-beam imaging, interference imaging and moving target detection can be improved.

Description

technical field [0001] The present invention relates to error determination technology, in particular to a method and device for estimating channel error. Background technique [0002] Multi-channel technology has important applications in Synthetic Aperture Radar (SAR, Synthetic Aperture Radar) multi-beam imaging, interference imaging, moving target detection and other technologies. Channel consistency compensation (mainly channel delay and phase error) is an important aspect of this technology. One of the key points, so the estimation of channel delay and phase error has important application significance. [0003] At present, the channel delay and phase error estimation methods mainly include internal calibration methods and methods based on raw data. The methods based on the original data mainly include space-time adaptive filtering method, subspace projection method and so on. Generally speaking, the internal calibration method has high accuracy in estimating delay an...

AI Technical Summary

Problems solved by technology

In general, the internal calibration method has high accuracy in estimating delay and phase error, but requires a large number of devices, cannot compensate for channel imbalance caused by antennas, and cannot track system changes

The method based on the original data does not need to increase the number of devices and can compensate the channel imbalance caused by the antenna and the change of the tracking system, but the current existing algorithm is complex and the stability is not good

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